Library prosa.analysis.facts.shifted_job_costs

Require Export prosa.analysis.facts.periodic.arrival_times.
Require Export prosa.analysis.facts.periodic.task_arrivals_size.
Require Export prosa.model.task.concept.
Require Export prosa.analysis.facts.hyperperiod.

In this file we define a new function for job costs in an observation interval and prove its validity.

Section ValidJobCostsShifted.

Consider any type of periodic tasks ...

  Context {Task : TaskType}.
  Context `{TaskOffset Task}.
  Context `{PeriodicModel Task}.
  Context `{TaskCost Task}.

... and any type of jobs.

  Context {Job : JobType}.
  Context `{JobTask Job Task}.
  Context `{JobArrival Job}.
  Context `{JobCost Job}.
  Context `{JobDeadline Job}.

Consider a consistent arrival sequence with non-duplicate arrivals.

Variable arr_seq : arrival_sequence Job.
Hypothesis H_valid_arrival_sequence : valid_arrival_sequence arr_seq.

Furthermore, assume that arrivals have valid job costs.

Hypothesis H_arrivals_have_valid_job_costs: arrivals_have_valid_job_costs arr_seq.

Consider a periodic task set ts such that all tasks in ts have valid periods and offsets.

  Variable ts : TaskSet Task.
  Hypothesis H_periodic_taskset: taskset_respects_periodic_task_model arr_seq ts.
  Hypothesis H_valid_periods_in_taskset: valid_periods ts.
  Hypothesis H_valid_offsets_in_taskset: valid_offsets arr_seq ts.

Consider a job j that stems from the arrival sequence.

Variable j : Job.
Hypothesis H_j_from_arrival_sequence: arrives_in arr_seq j.

Let O_max denote the maximum task offset of all tasks in ts ...

Let O_max := max_task_offset ts.

... and let HP denote the hyperperiod of all tasks in ts.

Let HP := hyperperiod ts.

We now define a new function for job costs in the observation interval.

Given that job j arrives after O_max, the cost of a job j' that arrives in the interval [O_max + HP, O_max + 2HP) is defined to be the same as the job cost of its corresponding job in j's hyperperiod.

  Definition job_costs_shifted (j' : Job) :=
    if (job_arrival j ≥ O_max ) && (O_max + HP ≤ job_arrival j' < O_max + 2 × HP ) then
      job_cost (corresponding_job_in_hyperperiod ts arr_seq j' (starting_instant_of_corresponding_hyperperiod ts j) (job_task j'))
    else job_cost j'.

Assume that we have an infinite sequence of jobs.

Hypothesis H_infinite_jobs: infinite_jobs arr_seq.

Assume all jobs in the arrival sequence arr_seq belong to some task in ts.

Hypothesis H_jobs_from_taskset: all_jobs_from_taskset arr_seq ts.

We assign the job costs as defined by the job_costs_shifted function.

Instance job_costs_in_oi : JobCost Job :=
job_costs_shifted.

We show that the job_costs_shifted function is valid.

Lemma job_costs_shifted_valid: arrivals_have_valid_job_costs arr_seq.

End ValidJobCostsShifted.